Sustainable livelihoods and adaptation to climate change (SLACC) project Terms of reference for project integrated monitoring and evaluation (M&E) with remote sensing
and geographical information system (GIS) 1. Background
The Sustainable Livelihoods and Adaptation to Climate Change (SLACC) Project is being implemented in Madhya Pradesh and Bihar under National Rural Livelihoods Mission (NRLM) of Ministry of Rural Development (MoRD), Government of India. National Rural Livelihood Promotion Society (NRLPS) is the coordinating agency under MoRD, whereas State Rural Livelihoods Missions of Madhya Pradesh and Bihar are the implementing agencies. The SLACC project is funded by the GEF-administered Special Climate Change Fund managed by the World Bank. This is a three years project. The project will be implemented in villages) 8 blocks in four districts of Bihar and Madhya Pradesh. In Bihar the project is being implemented in Gurua and Barachatti block of Gaya district, Khajauli and Rajnagar block of Madhubani district. In Madhya Pradesh the project is implemented Mandla and Bichiya blocks of Mandla district, Karhal and Sheopur blocks in Sheopur District. . The states have selected one drought and one flood prone districts for climate change interventions. SLACC project will be implemented in convergence with the MKSP, MGNREGS and other programmes of the Government contributing to strengthen climate resilience.
2. Project Objectives
The Project Development Objective (PDO) is to improve adaptive capacity of rural poor engaged in farm-based livelihoods to cope with climate variability and change. The components of the project are:
a) Component 1 - Planning, Service Provision and Implementation of Climate Change Adaptation. The objective of this component is to support risk assessment, planning, service provision and implementation of climate change adaptation interventions. A key input to improving adaptive capacity is knowledge of weather and its impact on farming through local weather information and crop advisories. Weather information will also form the basis for delivering weather-linked insurance products that help farmers transfer weather related risk.
b) Component 2 - Scaling and Mainstreaming Community-based Climate Adaptation. This component seeks to build the capacity of the national and state level staff of NRLM and build a cadre of CRPs to mainstream and scale-up planning and implementation of climate change adaptation in the country.
c) Component 3 -Project Management and Impact Evaluation. This component will support creation of climate change adaptation units in the NRLM and SRLMs to manage the SLACC project. Monitoring and evaluation (M&E) of the SLACC project is a key task under this component and the objective is to facilitate result-based management and provide the basis for evidence-based decision-making processes. The M&E system is also intended to enhance learning on climate change adaptive management during implementation because of the considerable uncertainties involved in community-based adaptive interventions that still require experimentation and learning. The M&E system will employ a variety of tools including monthly remote sensed data to provide continuous feedback to the project management and other stakeholders on the progress and quality of project implementation. The beneficiaries will use the monthly monitoring data to consistently make adaptive adjustments to depart from their business as usual practices to overcome climate change vulnerabilities.
This assignment is related to developing and implementing a Monitoring and Evaluation system for the SLACC project in Bihar and Madhya Pradesh that includes a hybrid approach of using remote sensing (RS) and geographical information system (GIS) technologies with more conventional qualitative and quantitative survey techniques. The RS & GIS technologies will also develop climate change and crop suitability plans that are based on historical climate data and projected climate data for the project villages.
3. Objective Of the Consultancy
The objective of the consultancy is twofold: a) To prepare a climate change and farm-based livelihoods suitability plan that is based on
historic, current climate analysis and future climate scenarios for each project village.
b) To develop and implement a GIS MIS system that measures, tracks and reports progress against indicators mentioned in the Results Framework and the GEF Tracking Tool.
The service provider is expected to use remote sensing, GIS, smart-phone technology and other appropriate technology in data collection, processing, analysis and presentation of results. The baseline, bi monthly crop monitoring reports, monthly progress reports and thematic reports should be provided in a timely manner so as to enable scientific evidence-based decision making by the project management and the communities. This assignment seeks to introduce a smart phone based ICT-based culture in the project that removes drudgery of data collection through paper-based systems and the associated non-utilization of data collected, due to limited access to all levels of users. In short, this assignment will create systems such that data is collected and stored and shared electronically so that it is always available to a user on demand without barriers of location, distance and access.
4. Scope of activities Prepare Climate Change and Farm-based Livelihood Suitability Plan The service provider will develop a climate change adaptation plan that takes into account historical medium resolution (30m) satellite imagery of at least 25 - 30 years and weather data of 60 - 100 years depending on data availability for each project district. Further the local natural resources such as soil, water, etc. would be mapped and analyzed for assessing suitability of current farm-based livelihoods up to 5 hectare plot level for each project village and suggest possible responses to climate change.
Similarly the service provider, using future climate scenarios and crop and livelihoods modeling will prepare climate adaptation plan covering the next 10, 20, 30 years horizon including crop and livelihood suitability for each project village at a resolution of 0.10 hectare.
In preparing the above historical, current and future sets of plans, the service provider will use appropriate remote sensing images, maps and analysis (Refer Annex-2). The tasks will be coupled with geotagging of all SLACC beneficiaries land assests and natural resources as appropriate for collecting data from the project villages and control villages (list will be provided by the project team). Data needs for carrying out this task are expected to overlap significantly with data needs of the M&E baseline survey; hence the service provider needs to closely coordinate with the M&E service provider (procured separately).
Task 1: Baseline, GIS and MIS System development
a) Identify and measure indicators that form part of Climate change resilience index (CCRI) especially ecological, further where feasible economic, social and human indicators.
b) Develop a Baseline land use land use change and forestry (LULUCF) for 25 - 30 years from 1989 using freely available Landsat (30 m), or Aster imageries LISS 3 and LISS 4 imageries and other additional imageries provided by the project.
c) Provide geo locations and maps for collection soil and water samples in all project villages and control villages
d) Produce a LULUCF baseline report that amalgamates the baseline developed by the M&E service provider. Produce a climate change and farm-based livelihoods suitability report based on historic climate data, current analysis and projected climate scenarios that uses UNFCCC/ IPCC protocols for downscaling and up scaling data sets.
e) Develop a simple community friendly geotagged photo based android app to facilitate household level data collection of agriculture plots data and interventions of SLACC farmers by community resource persons (CRP). This data will be used in household / group / village level climate change adaptation planning.
f) Pilot test and validate the use of small drones with the permission of district authorities for video based inventory assessment Natural resources and crop productivity estimates for possible scaling up for concurrent monitoring.
Task 2: GIS integrated MIS System development
a. Develop and establish a robust Web GIS MIS system that would consist widgets for legend,
layers list, print, advanced search, 30m DEM SRTM & 5m Cartostat DEM based watersheds,
contour generator upto 0.25 mt intervals, elevation profile, auto report generator up
household level with select geotagged photos, KML data import, weightage analysis etc. The
data collection module should encompass data collation, maps integration, data display for
Android smart phones and develop a data analysis, data query and data archives in Windows
or Linux systems in consultation with the project. The GIS MIS should have import and export
interfaces to collate geotagged data from AWS, Crop advisory and M& E systems etc. The Web
GIS platform should be Android system compatible for display and if possible for the widgets
b. Data collection module: Develop an Android smart app for geotagged photo based data
collection with auto GPS switch on function that would be independent of mobile network for
collection and input of data at the field level. . Pictures will be geotagged to enable to be
viewed and analyzed using appropriate GIS software. Data will be collected inter alia, during